Machine Learning Guided Optimization for Demand Responsive Transport Systems

Machine Learning Guided Optimization for Demand Responsive Transport Systems

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ECML PKDD (2021 : Online) Machine Learning and Knowledge Discovery in Databases ; Part 4: Applied Data Science Track
1. Verfasser: Zigrand, Louis (VerfasserIn)
Weitere Verfasser: Alizadeh, Pegah (VerfasserIn), Traversi, Emiliano (VerfasserIn), Calvo, Roberto Wolfler (VerfasserIn)
Pages:4
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
DeFraudNet: An End-to-End Weak Supervision Framework to Detect Fraud in Online Food Delivery 2021 Mathew, Jose
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast 2021 Schreiber, Jens
Spatio-Temporal Multi-graph Networks for Demand Forecasting in Online Marketplaces 2021 Gandhi, Ankit
COVID Edge-Net: Automated COVID-19 Lung Lesion Edge Detection in Chest CT Images 2021 Wang, Kang
Automatic Acoustic Mosquito Tagging with Bayesian Neural Networks 2021 Kiskin, Ivan
Multitask Recalibrated Aggregation Network for Medical Code Prediction 2021 Sun, Wei
VAMBC: A Variational Approach for Mobility Behavior Clustering 2021 Yue, Mingxuan
OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation 2021 Axenie, Cristian
Energy and Emission Prediction for Mixed-Vehicle Transit Fleets Using Multi-task and Inductive Transfer Learning 2021 Wilbur, Michael
SPOT: A Framework for Selection of Prototypes Using Optimal Transport 2021 Gurumoorthy, Karthik S.
Smurf-Based Anti-money Laundering in Time-Evolving Transaction Networks 2021 Starnini, Michele
Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning 2021 Murayama, Taichi
Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge 2021 Lozano, Miguel Angel
Anomaly Detection: How to Artificially Increase Your F1-Score with a Biased Evaluation Protocol 2021 Fourure, Damien
Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data 2021 He, Jingzhu
Learning Explainable Representations of Malware Behavior 2021 Prasse, Paul
Recognizing Skeleton-Based Hand Gestures by a Spatio-Temporal Network 2021 Li, Xin
Generating Multi-type Temporal Sequences to Mitigate Class-Imbalanced Problem 2021 Jiang, Lun
The Limit Order Book Recreation Model (LOBRM): An Extended Analysis 2021 Shi, Zijian
Taking over the Stock Market: Adversarial Perturbations Against Algorithmic Traders 2021 Nehemya, Elior
Alle Artikel auflisten